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The Role
Leads the design, predictive modeling, simulation, and modernization of field compensation programs. Applies actuarial methods, statistics, AI, machine learning, and quantitative analysis to evaluate financial impact, participant behavior, sales outcomes, and plan effectiveness. Partners with executive, finance, technology, analytics, and compensation teams to operationalize designs in Varicent, support governance and strategic decisions, develop dashboards, and advance automation. Mentors analysts and leads cross-functional modernization initiatives.
Summary Generated by Built In
Job Requisition ID: 94370
Location Designation: Hybrid - 3 days per week
Role Overview:
The Corporate Vice President is a strategic leader within the Compensation Operations team responsible for advancing the design, modeling, and modernization of New York Life's field compensation programs. This role will lead the development of sophisticated compensation models, leveraging actuarial principles, predictive analytics, artificial intelligence, and data science techniques to evaluate, optimize, and recommend compensation strategies that align with business objectives.
Working closely with senior leaders across Compensation Strategy, Distribution, Finance, Technology, Data & Analytics, and Field Leadership, this individual will develop analytical frameworks that evaluate plan effectiveness, model behavioral outcomes, and inform executive decision-making. The role will also partner with Compensation Operations and Technology teams to ensure approved designs can be successfully implemented within the Varicent Incentive Compensation Management platform.
This position serves as the analytical center of excellence for compensation plan design, balancing financial performance, sales behavior, competitiveness, and operational feasibility.
What You'll Do:
Lead the design and advanced analytical modeling of field compensation plans and other Field Experience needs.
Develop predictive compensation models to evaluate financial impact, participant behavior, sales outcomes, and organizational performance.
Apply actuarial methods, statistical analysis, machine learning, and AI-enabled modeling techniques to improve compensation design and decision making.
Build simulation models that evaluate proposed compensation changes under multiple business scenarios and economic assumptions.
Translate complex business challenges into quantitative models that support strategic compensation recommendations.
Collaborate with Compensation Operations and Technology teams to ensure compensation designs can be effectively operationalized within the Varicent platform.
Evaluate emerging AI capabilities and advanced analytics technologies to improve compensation design, forecasting, and operational efficiency.
Lead compensation analytics supporting executive presentations, governance committees, and strategic planning initiatives.
Assist in develop key performance indicators and dashboards measuring compensation plan effectiveness and participant outcomes.
Mentor analysts and business partners in analytical methodologies, modeling techniques, and data-driven decision making.
Support enterprise modernization initiatives focused on automation, AI adoption, and next-generation compensation capabilities.
What You'll Bring:
Required Skills:
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Operations Research, Computer Science, or related quantitative discipline.
• 8-12 years of progressive experience in compensation strategy, actuarial science, predictive analytics, financial modeling, or quantitative business analysis.
• Demonstrated experience developing sophisticated financial or behavioral models supporting strategic business decisions.
• Strong understanding of incentive compensation principles, sales performance measurement, or behavioral economics.
• Advanced analytical capabilities including statistical modeling, scenario analysis, forecasting, and optimization techniques.
• Experience leveraging Artificial Intelligence and Machine Learning tools to improve business modeling, forecasting, or decision support.
• Advanced proficiency with Excel and analytical tools such as Python, R, SQL, SAS, MATLAB, or equivalent quantitative platforms.
• Excellent executive communication skills with the ability to explain complex analytical findings to non-technical audiences.
• Strong business acumen with the ability to balance financial objectives, participant behavior, and operational considerations.
• Demonstrated leadership in managing cross-functional initiatives involving business, finance, and technology partners.
Preferred Skills:
• Fellow or Associate of the Society of Actuaries (FSA/ASA) or equivalent actuarial credential.
• MBA or advanced degree in Actuarial Science, Statistics, Data Science, Economics, Finance, or related field.
• Experience designing or evaluating sales compensation programs within financial services, insurance, wealth management, or related industries.
• Familiarity with Varicent Incentive Compensation Management (ICM) or comparable incentive compensation platforms.
• Experience developing AI-enabled forecasting, optimization, or simulation models.
• Experience with visualization tools such as Power BI or Tableau.
• Knowledge of cloud-based analytics platforms and modern data architecture.
#LI - EM1
#LI - HYBRID
Job Level: LEVELPF5
Pay Transparency
Salary Range: $119,000-$165,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 94370
#BI-Hybrid
Location Designation: Hybrid - 3 days per week
Role Overview:
The Corporate Vice President is a strategic leader within the Compensation Operations team responsible for advancing the design, modeling, and modernization of New York Life's field compensation programs. This role will lead the development of sophisticated compensation models, leveraging actuarial principles, predictive analytics, artificial intelligence, and data science techniques to evaluate, optimize, and recommend compensation strategies that align with business objectives.
Working closely with senior leaders across Compensation Strategy, Distribution, Finance, Technology, Data & Analytics, and Field Leadership, this individual will develop analytical frameworks that evaluate plan effectiveness, model behavioral outcomes, and inform executive decision-making. The role will also partner with Compensation Operations and Technology teams to ensure approved designs can be successfully implemented within the Varicent Incentive Compensation Management platform.
This position serves as the analytical center of excellence for compensation plan design, balancing financial performance, sales behavior, competitiveness, and operational feasibility.
What You'll Do:
Lead the design and advanced analytical modeling of field compensation plans and other Field Experience needs.
Develop predictive compensation models to evaluate financial impact, participant behavior, sales outcomes, and organizational performance.
Apply actuarial methods, statistical analysis, machine learning, and AI-enabled modeling techniques to improve compensation design and decision making.
Build simulation models that evaluate proposed compensation changes under multiple business scenarios and economic assumptions.
Translate complex business challenges into quantitative models that support strategic compensation recommendations.
Collaborate with Compensation Operations and Technology teams to ensure compensation designs can be effectively operationalized within the Varicent platform.
Evaluate emerging AI capabilities and advanced analytics technologies to improve compensation design, forecasting, and operational efficiency.
Lead compensation analytics supporting executive presentations, governance committees, and strategic planning initiatives.
Assist in develop key performance indicators and dashboards measuring compensation plan effectiveness and participant outcomes.
Mentor analysts and business partners in analytical methodologies, modeling techniques, and data-driven decision making.
Support enterprise modernization initiatives focused on automation, AI adoption, and next-generation compensation capabilities.
What You'll Bring:
Required Skills:
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Operations Research, Computer Science, or related quantitative discipline.
• 8-12 years of progressive experience in compensation strategy, actuarial science, predictive analytics, financial modeling, or quantitative business analysis.
• Demonstrated experience developing sophisticated financial or behavioral models supporting strategic business decisions.
• Strong understanding of incentive compensation principles, sales performance measurement, or behavioral economics.
• Advanced analytical capabilities including statistical modeling, scenario analysis, forecasting, and optimization techniques.
• Experience leveraging Artificial Intelligence and Machine Learning tools to improve business modeling, forecasting, or decision support.
• Advanced proficiency with Excel and analytical tools such as Python, R, SQL, SAS, MATLAB, or equivalent quantitative platforms.
• Excellent executive communication skills with the ability to explain complex analytical findings to non-technical audiences.
• Strong business acumen with the ability to balance financial objectives, participant behavior, and operational considerations.
• Demonstrated leadership in managing cross-functional initiatives involving business, finance, and technology partners.
Preferred Skills:
• Fellow or Associate of the Society of Actuaries (FSA/ASA) or equivalent actuarial credential.
• MBA or advanced degree in Actuarial Science, Statistics, Data Science, Economics, Finance, or related field.
• Experience designing or evaluating sales compensation programs within financial services, insurance, wealth management, or related industries.
• Familiarity with Varicent Incentive Compensation Management (ICM) or comparable incentive compensation platforms.
• Experience developing AI-enabled forecasting, optimization, or simulation models.
• Experience with visualization tools such as Power BI or Tableau.
• Knowledge of cloud-based analytics platforms and modern data architecture.
#LI - EM1
#LI - HYBRID
Job Level: LEVELPF5
Pay Transparency
Salary Range: $119,000-$165,000
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit our NYL Benefits Site.
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.
Job Requisition ID: 94370
#BI-Hybrid
Skills Required
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, Data Science, Operations Research, Computer Science, or a related quantitative discipline.
- 8-12 years of progressive experience in compensation strategy, actuarial science, predictive analytics, financial modeling, or quantitative business analysis.
- Experience developing sophisticated financial or behavioral models supporting strategic business decisions.
- Strong understanding of incentive compensation principles, sales performance measurement, or behavioral economics.
- Advanced analytical capabilities in statistical modeling, scenario analysis, forecasting, and optimization techniques.
- Experience leveraging Artificial Intelligence and Machine Learning tools for business modeling, forecasting, or decision support.
- Advanced proficiency with Excel and analytical tools such as Python, R, SQL, SAS, MATLAB, or equivalent quantitative platforms.
- Excellent executive communication skills and ability to explain complex analytical findings to non-technical audiences.
- Strong business acumen balancing financial objectives, participant behavior, and operational considerations.
- Leadership experience managing cross-functional initiatives involving business, finance, and technology partners.
- Fellow or Associate of the Society of Actuaries or equivalent actuarial credential.
- MBA or advanced degree in Actuarial Science, Statistics, Data Science, Economics, Finance, or a related field.
- Experience designing or evaluating sales compensation programs in financial services, insurance, wealth management, or related industries.
- Familiarity with Varicent Incentive Compensation Management or comparable incentive compensation platforms.
- Experience developing AI-enabled forecasting, optimization, or simulation models.
- Experience with visualization tools such as Power BI or Tableau.
- Knowledge of cloud-based analytics platforms and modern data architecture.
What the Team is Saying
Tyrone
Corporate Vice President, Employee Experience
Emma
Director, Tech, Data, AI, Ventures (TDAV)
Deepa
Chief Information Officer
Patricia
Corporate Vice President, Enterprise Technology Services
Joel
Senior Vice President, Founder & Head of New York Life Ventures
Nishit
Corporate Vice President, AI & Data Architect
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The Company
What We Do
At New York Life, our 180-year legacy of integrity, mutuality, and financial strength fuels a future defined by bold transformation. As the largest mutual life insurance company in the U.S., we operate on behalf of our policy owners—not shareholders. That structure allows us to take a long-term view, investing in people, purpose, and innovation that endures. Guided by a clear enterprise vision to become a technology-, data-, and AI-powered company, we’re modernizing our platforms, rearchitecting experiences, and embedding intelligence across our products and services. Our mission has always been about helping people through life’s most meaningful moments. Today, technology is amplifying that mission—enabling us to serve clients, advisors, and communities in more personalized, proactive ways. With a diversified business portfolio spanning insurance, investments, retirement, group benefits, and direct-to-consumer offerings, New York Life delivers the stability of a Fortune 100 company with the agility of one that’s continuously evolving. We’re powered by a values-led culture, inclusive teams, and a shared belief that when our people thrive, so does our company. Here, tradition fuels momentum—and your ideas, energy, and growth power what’s next.
Why Work With Us
New York Life is transforming from the inside out—blending 180 years of trust with the velocity of innovation. What makes us different is our culture: grounded in integrity, humanity, and shared success—values that show up in how we work, lead, and grow. If you want a place where innovation has purpose—build what's next with us.
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About our Teams
New York Life Insurance Company Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Typical time on-site:
Not Specified
